1201 F. Hoffmann-La Roche AG
Computational Scientist - Oncology(m/w/x)
Full-timeOn-siteExperienced
Basel
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RORoche
.Computational Biology - Oncology(m/w/x)
Basel
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Generating insights from complex oncology data for drug development. PhD in bioinformatics or related field required. Collaboration with scientists and cross-functional teams.
Requirements
- PhD in Bioinformatics, Biostatistics, or related quantitative field
- Strong foundation in data-driven problem solving
- Strong foundation in statistical modeling
- Strong foundation in machine learning
- Solid understanding of cancer biology
- Motivation to apply data science in drug discovery
- Strong expertise in AI/ML
- Expertise in modern AI-driven workflows
- Hands-on experience with LLMs
- Hands-on experience with AI-assisted coding
- Hands-on experience with agentic workflows
- Proficiency in R
- Proficiency in Python
- Comfortable working in Linux/Unix environments
- Processing data on HPC/cloud platforms
- Experience with large-scale biological datasets
- Experience with cancer cell dependency data
- Experience with perturbation data
- Experience with drug-response data
- Enjoyment of integrating diverse data types
- Clear and effective communication
- Creation of impactful visualizations
- Thriving in collaborative, multidisciplinary environments
- Taking ownership
- Close collaboration with experimental scientists
Tasks
- Drive data and analytics strategy
- Collaborate with stakeholders on high-impact opportunities
- Generate insights from complex data
- Support decision-making and project advancement
- Partner with scientists and cross-functional teams
- Shape priorities and deliver shared goals
- Foster a collaborative and inclusive team environment
- Share expertise and support peers
- Engage in a feedback-rich culture
- Improve work processes and innovation
- Strengthen Computational Biology's impact within pRED
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Linux/Unix
- HPC
- cloud platforms
- LLMs
- AI-assisted coding
- agentic workflows
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RORoche
.Computational Biology - Oncology(m/w/x)
Basel
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Generating insights from complex oncology data for drug development. PhD in bioinformatics or related field required. Collaboration with scientists and cross-functional teams.
Requirements
- PhD in Bioinformatics, Biostatistics, or related quantitative field
- Strong foundation in data-driven problem solving
- Strong foundation in statistical modeling
- Strong foundation in machine learning
- Solid understanding of cancer biology
- Motivation to apply data science in drug discovery
- Strong expertise in AI/ML
- Expertise in modern AI-driven workflows
- Hands-on experience with LLMs
- Hands-on experience with AI-assisted coding
- Hands-on experience with agentic workflows
- Proficiency in R
- Proficiency in Python
- Comfortable working in Linux/Unix environments
- Processing data on HPC/cloud platforms
- Experience with large-scale biological datasets
- Experience with cancer cell dependency data
- Experience with perturbation data
- Experience with drug-response data
- Enjoyment of integrating diverse data types
- Clear and effective communication
- Creation of impactful visualizations
- Thriving in collaborative, multidisciplinary environments
- Taking ownership
- Close collaboration with experimental scientists
Tasks
- Drive data and analytics strategy
- Collaborate with stakeholders on high-impact opportunities
- Generate insights from complex data
- Support decision-making and project advancement
- Partner with scientists and cross-functional teams
- Shape priorities and deliver shared goals
- Foster a collaborative and inclusive team environment
- Share expertise and support peers
- Engage in a feedback-rich culture
- Improve work processes and innovation
- Strengthen Computational Biology's impact within pRED
Work Experience
- approx. 1 - 4 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- R
- Python
- Linux/Unix
- HPC
- cloud platforms
- LLMs
- AI-assisted coding
- agentic workflows
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Not a perfect match?
- 1201 F. Hoffmann-La Roche AG
Computational Scientist - Oncology(m/w/x)
Full-timeOn-siteExperiencedBasel - 1201 F. Hoffmann-La Roche AG
Computational Statistician - Oncology(m/w/x)
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Computational Biology and Medicine-Ophthalmology(m/w/x)
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Matrix Lead in Analytics(m/w/x)
Full-timeOn-siteSeniorBasel - Roche Pharma Research and Early Development (pRED)
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